A review of the applications of interval type-2 fuzzy logic in intelligent control has been
considered in this paper. The fundamental focus of the paper is based on the basic reasons …

An introductory book that provides theoretical, practical, and application coverage of the
emerging field of type-2 fuzzy logic control Until recently, little was known about type-2 fuzzy …

Abstract Interval type-2 (IT2) fuzzy systems have become increasingly popular in the last 20
years. They have demonstrated superior performance in many applications. However, the …

Recent results on fuzzy control have shown that interval type-2 (IT2) fuzzy logic controllers
(FLCs) might achieve better control performance due to the additional degree of freedom …

Interval type-2 fuzzy logic controllers (IT2 FLCs) have been attracting great research
interests recently. There are many decisions to be made in designing an IT2 FLC. One of …

Footprint of uncertainty (FOU) characteristics of interval type-2 membership functions (IT2-
MFs) play an important role in the performance and robustness of interval type-2 fuzzy …

The interval type-2 fuzzy Proportional-Integral (PI) controller (IT2-FPI) might be able to
handle high levels of uncertainties to produce a satisfactory control performance, which …

The fundamental difference between an interval type-2 (IT2) fuzzy controller and a type-1
fuzzy controller is the footprint of uncertainty (FOU) of an IT2 fuzzy set. In this paper, we study …

In this paper, a mutually recurrent interval type-2 neural fuzzy system (MRIT2NFS) is
proposed for the identification of nonlinear and time-varying systems. The MRIT2NFS uses …

In this study, we propose a novel Interval Type-2 (IT2) Fuzzy activation layer that is
composed of Single input IT2 (SIT2) Fuzzy Rectifying Units (FRUs) to improve the learning …